The Hidden Bottleneck Slowing Down Manufacturing Transformation
CISCO, Thursday, April 23rd, 2026
You've identified the use cases. You've built the business case. You're ready to deploy AI on the shop floor-predictive maintenance, machine vision for real-time quality control, digital twins, autonomous robotics, virtual PLCs. And then the project stalls. It's not the technology that stops you. It's the network underneath it.
This is the central finding of a new report from ARC Advisory Group, Why Modern Networks are Critical for AI-Ready Manufacturing Operations. After evaluating what it takes to scale AI and software-defined industrial automation in manufacturing environments, ARC reached a clear conclusion: without a modern, secure, high-performance industrial network, the most ambitious transformation initiatives simply cannot succeed.
The infrastructure gap is real
Manufacturers are under relentless pressure-to improve productivity, reduce costs, accelerate time-to-market, and compete in an increasingly software-driven industry. An increasing number of manufacturers are now embracing AI as revealed in the newly released survey, 2026 State of Industrial AI Report for Manufacturing, which notes that 59% of manufacturers are actively deploying AI. Emerging technologies like shop-floor virtualization, AI-powered processes, and cloud-connected production systems promise to help. But they come with stringent requirements that legacy networks were never designed to meet.